• Title/Summary/Keyword: DNS sinkhole

Search Result 4, Processing Time 0.019 seconds

Preventing Botnet Damage Technique and It's Effect using Bot DNS Sinkhole (DNS 싱크홀 적용을 통한 악성봇 피해방지 기법 및 효과)

  • Kim, Young-Baek;Lee, Dong-Ryun;Choi, Joong-Sup;Youm, Heung-Youl
    • Journal of KIISE:Computing Practices and Letters
    • /
    • v.15 no.1
    • /
    • pp.47-55
    • /
    • 2009
  • Bot is a kind of worm/virus that is remotely controlled by a herder. Bot can be used to launch distributed denial-of-service(DDoS) attacks or send spam e-mails etc. Launching cyber attacks using malicious Bots is motivated by increased monetary gain which is not the objective of worm/virus. However, it is very difficult for infected user to detect this infection of Botnet which becomes more serious problems. This is why botnet is a dangerous, malicious program. The Bot DNS Sinkhole is a domestic bot mitigation scheme which will be proved in this paper as one of an efficient ways to prevent malicious activities caused by bots and command/control servers. In this paper, we analysis botnet activities over more than one-year period, including Bot's lifetime, Bot command/control server's characterizing. And we analysis more efficient ways to prevent botnet activities. We have showed that DNS sinkhole scheme is one of the most effective Bot mitigation schemes.

A New Bot Disinfection Method Based on DNS Sinkhole (DNS 싱크홀에 기반한 새로운 악성봇 치료 기법)

  • Kim, Young-Baek;Youm, Heung-Youl
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.18 no.6A
    • /
    • pp.107-114
    • /
    • 2008
  • The Bot is a kind of worm/virus that can be used to launch the distributed denial-of-service(DDoS) attacks or send massive amount of spam e-mails, etc. A lot of organizations make an effort to counter the Botnet's attacks. In Korea, we use DNS sinkhole system to protect from the Botnet's attack, while in Japan "so called" CCC(Cyber Clean Center) has been developed to protect from the Botnet's attacks. But in case of DNS sinkhole system, there is a problem since it cannot cure the Bot infected PCs themselves and in case of CCC there is a problem since only 30% of users with the Botnet-infected PCs can cooperate to cure themself. In this paper we propose a new method that prevent the Botnet's attacks and cure the Bot-infected PCs at the same time.

A Study on DNS sinkhole operation using DNS Response Policy Zone (DNS Response Policy Zone 을 이용한 DNS 싱크홀 운영 방안 연구)

  • Chio, Jae-Young;Oh, Sang-Seok;Min, Sung-Gi
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2011.04a
    • /
    • pp.1528-1531
    • /
    • 2011
  • 최근 악성봇은 해커에 의해 원격 조정되어 명령에 의해 스팸메일 발송, DDoS 공격 등의 악성행위를 수행하는 웜/바이러스이다[2]. 악성봇은 이전의 웜/바이러스와 달리 금전적인 이득을 목적으로 하는 것이 많아 작게는 일상생활의 불편함으로부터 크게는 사회적, 국가적으로 악영향을 주고 있다. 국내에서는 이러한 위험을 방어하기 위한 효과적인 대응 방법으로 DNS 싱크홀을 운영 하고 있다. 본 논문에서는 DNS 싱크홀 운영 중 수집한 봇 명령/제어 (Command and Control, C&C) 도메인을 Internet Service Provider (ISP) DNS 싱크홀 시스템에 적용하는 과정에서 나타나는 문제점을 효과적으로 해결 하기 위한 DNS Response Policy Zone(RPZ)을 이용한 DNS 싱크홀 운영 방안을 제시 하였다.

A Study on Collection and Analysis Method of Malicious URLs Based on Darknet Traffic for Advanced Security Monitoring and Response (효율적인 보안관제 수행을 위한 다크넷 트래픽 기반 악성 URL 수집 및 분석방법 연구)

  • Kim, Kyu-Il;Choi, Sang-So;Park, Hark-Soo;Ko, Sang-Jun;Song, Jung-Suk
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.24 no.6
    • /
    • pp.1185-1195
    • /
    • 2014
  • Domestic and international CERTs are carrying out security monitoring and response services based on security devices for intrusion incident prevention and damage minimization of the organizations. However, the security monitoring and response service has a fatal limitation in that it is unable to detect unknown attacks that are not matched to the predefined signatures. In recent, many approaches have adopted the darknet technique in order to overcome the limitation. Since the darknet means a set of unused IP addresses, no real systems connected to the darknet. Thus, all the incoming traffic to the darknet can be regarded as attack activities. In this paper, we present a collection and analysis method of malicious URLs based on darkent traffic for advanced security monitoring and response service. The proposed method prepared 8,192 darknet space and extracted all of URLs from the darknet traffic, and carried out in-depth analysis for the extracted URLs. The analysis results can contribute to the emergence response of large-scale cyber threats and it is able to improve the performance of the security monitoring and response if we apply the malicious URLs into the security devices, DNS sinkhole service, etc.